Back to Search Start Over

Virtual source total focusing method for crack detection in complex curved structure.

Authors :
Wang, Jun
Zhou, Zhenggan
Yang, Gongpeng
Yu, Jingtao
Li, Yang
Yang, Liwei
Zhou, Wenbin
Source :
NDT & E International. Dec2023, Vol. 140, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Accurate non-destructive testing and evaluation of cracks is important for the quality assurance and life-cycle management of key components in aerospace and energy industries. This paper presents a novel imaging method for cracks detection in complex curved structure , combining virtual source technique, multi-mode total focusing method and phase coherence imaging method. The virtual source on the sample surface is employed as the emitter and receiver for the ultrasonic array imaging. In this way, the calculation complexity of imaging algorithm due to beam path search can be reduced, and the detection sensitivity in the region of interest can be improved. In addition, the phase coherence factor is used to suppress the background noise and imaging artifacts, which significantly improves the quality of ultrasonic array imaging. A complex curved sample with variable thickness and non-developable surface was used to examine the effectiveness of the virtual source total focusing method. The signal-to-noise ratio of the crack defect is increased by more than 25 dB using the novel method compared with that of the conventional total focusing method, and the quantitative evaluation error of defect is less than 2.67%. • A novel virtual source total focusing method is proposed for crack detection in the complex curved structure. • The phase coherence factor is used to suppress background noise and artifacts. • The detection sensitivity of the region of interest is significantly improved. • The effect of virtual source spacing on post-processing imaging is analyzed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09638695
Volume :
140
Database :
Academic Search Index
Journal :
NDT & E International
Publication Type :
Academic Journal
Accession number :
173280750
Full Text :
https://doi.org/10.1016/j.ndteint.2023.102968